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Pairwise, group comparisons after ANOVA were carried out using Tukey's multiple comparison technique.
The Tukey's multiple comparison technique was applied posthoc to the ANOVA [ 22- 24].
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It would therefore be desirable to develop a framework for an integrated approach that combines the strengths of multiple comparison techniques with those of regression model-based techniques for the analysis of dose response data.
While in some cases it will be appropriate to provide some protection against detecting false positive results, adjustments of significance levels using multiple comparison techniques, which would lessen the chance of detecting potentially important biomarkers and other risk factors for severity of respiratory disease will be used sparingly [ 42].
When the comparisons of interest were between treatments and the control condition alone, Dunnett's multiple comparisons technique for a single control was used.
Corrections were made in instances of multiple comparisons using techniques such as Tukey's range test.
Multiple comparison tests using bootstrap technique were performed for significance.
The selected sample size was adjusted for multiple comparisons using the technique of Bonferroni for controlling the overall type I error rate at 5%.
After the detection of statistically significant effects within the data using a two-way analysis of variance technique, the Scheffé multiple comparison test was used to identify which specific comparisons were significantly different.
Multiple comparisons included Bonferonni techniques and Scheffe's contrasts.
Fisher multiple comparison test was used to evaluate significant differences (p < 0.05) among the seed gum obtained by four different drying techniques.
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